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🚨 URGENT : menace d'enlèvement en France, besoin de la commu crypto FR J'ai reçu une info sérieuse : des personnes prévoient d'enlever, dans les prochaines heures, le propriétaire du wallet Ethereum wooooooow.eth 0x5231E31C3ca39DD94fF56beCB662Ea50bC4Da7D1 On ne connaît ni son nom ni sa ville. Impossible de le prévenir directement. Les autorités sont en train d'être alertées. Si tu connais cette personne, ou si tu reconnais ce nom ENS (Discord, DeFi, Convex, Aave, staking), préviens-la tout de suite en privé : • rester dans un endroit sûr • ne pas ouvrir à des inconnus • appeler le 17 ou le 112 À toi, propriétaire de wooooooow.eth : ce n'est pas une arnaque. Aucun lien, aucun DM, aucun argent demandé. Protège-toi et contacte la police maintenant. Merci de RT pour que le message arrive jusqu'à lui. @PoliceNationale @Gendarmerie @prefpolice @PowerHasheur @CryptoastMedia @coinacademy_fr @Ledger @zachxbt

Jensen taught me a lot. But the most important things he taught me was to care about the details. And keep pushing no matter how long it takes you. 3 years ago, he invited me to fly on his jet with him. I was shocked. And he did it because he knew I was this unrelenting person that chased Snowflake for years to make the impossible a reality. He knew I was that person and he remembered I was that person. Few people at his level care to do either. He did both. I owe him a lot. He built a great company that changed my life forever. And he gave me the means to execute on my ambitions in a way that nothing else ever could. Praying for him, his family and everyone at NVIDIA past and present. PS. Photo is not AI generated. This flight was to Snowflake's conference!

Les salariés pendant la panne Microsoft : CE QU'ILS PENSENT : • « Catastrophe, impossible de bosser. » • « La situation est grave. » • « On attend que le service informatique résolve ça. CE QUI SE PASSE VRAIMENT :

Everyone believes CUDA is NVIDIA's moat, the reason we've maintained our dominance in the AI era. I've never believed that. NVIDIA has only one true moat: its people. And the most important of them is Jensen Huang. I've worked on CUDA compilers, libraries, and DSLs for eight years, from Volta to Rubin. I think I've earned the right to share my perspective on what NVIDIA's moat really is. I hope you'll bear with me. 1. What is CUDA? Many people think CUDA is just a programming language and its compiler, and that NVIDIA's moat comes from the massive amount of software written in CUDA, making it impossible for developers to leave NVIDIA GPUs. This is completely wrong. It's an incredibly naive understanding of CUDA. To me, CUDA is everything NVIDIA does. CUDA isn't just a language, software, or hardware architecture. It's a product defined by a unique customer experience. When you find GPU programming too difficult, CUDA gives you an easier way. When your GPU code isn't fast enough, NVIDIA engineers respond and help you solve it. When a handful of GPUs can no longer push your technology forward, NVIDIA has already scaled its computing platform from desktops to massive data centers. When you need more data centers than anyone else can supply, NVIDIA has already secured wafer and HBM capacity years in advance to meet your demand. That experience is CUDA. It's made possible by the relentless, day-to-day work of everyone at NVIDIA. And the person who brings all these people together, who gives them a shared vision and purpose, is Jensen Huang. 2. What made CUDA possible? Patience. Perseverance. An unwavering commitment to a vision. Around 2006, NVIDIA bet that the future would demand far more computing power, and began transforming GPUs from graphics processors into a platform for general-purpose computing. Initially, it was a commercial disaster. The added costs hurt margins, the market wasn't ready, and the strategy faced enormous skepticism and pressure, including questions from the board. But Jensen persisted. For roughly a decade, NVIDIA kept investing in CUDA, building its hardware, software, and developer ecosystem long before the commercial payoff became clear. Eventually, deep learning arrived. And NVIDIA was ready. Today, this sounds like an inspiring story. But for those who lived through it, it meant a decade of perseverance, doubt, and being misunderstood. Looking back at the history of technology, how many people could have done the same? This is what I've always loved most about NVIDIA. And now, Jensen has been pushed out. This won't kill NVIDIA. The company can still create tremendous commercial value. But it has killed NVIDIA's soul. And how far can a body go without its soul? If this is how Jensen Huang is treated today, how will those of us who built CUDA be treated tomorrow? I love NVIDIA deeply, but I have to say it: NVIDIA is dead.

overheard from friends talking about AI in China, and it’s very alarming - AI short films went massive in China market because of how good the video models are now - the first wave of people who mastered using AI to generate short films and comics made quite some money because they could produce a lot more content than traditional workflows - but within just a few months, everybody and their mom could make equally good short films because all the expertise could be written in a markdown file - when everyone’s more productive, no one actually has an advantage and it’s a race to the bottom. very quickly it became impossible to make money, and everyone’s busier than they were without AI - the only one making money now is companies like bytedance who owns user demand and distribution. they sell ads to creators who pay to get traffic, and eventually ad spend became 80% of those creators’ operating expense, while AI tokens is less than 5% so what are the problems here? 1. there’s no moat if you are creating anything with AI if a human is really good at something, and it’s hard to find more humans who can do the same, they can leverage the scarcity of their skill to get paid very well but if AI is good at something, it will be infinitely replicated, so there’s no scarcity hence you can’t really expect a sustainable business by creating anything with AI 2. more creators created more content people actually liked. that’s a good thing but the economical benefit of that all got absorbed by the distribution platforms there’s a famous chinese poem 遍身罗绮者，不是养蚕人 - it basically says people who dress well aren’t the people making dresses. that’s exactly what’s happening here if our society doesn’t figure out a better way to distribute wealth, AI will help billionaires become trillionaires while average people become more exhausted than ever

🚨Breaking：Studies show Elon Musk’s laugh is now a renewable energy source. 😂🔋 Everyone said “impossible.” He said “hahaha… anyway, here’s the rocket.” 🚀 That laugh isn’t arrogance. It’s joy: the joy of a guy who gets to spend his days doing the hardest, nerdiest, most exciting things humans have ever tried. And somehow he still finds them hilarious. Every launch. Same smile. ❤️ So, why is he so happy? Because he’s building the future, and he’s having the time of his life doing it. Keep laughing, Elon. Keep building. We’re cheering for you. @elonmusk

Sometimes the funniest moments happen when the cameras are rolling and the actors have absolutely no idea what’s coming. While filming Scary Movie 5 (2013), the crew reportedly decided to prank Ashley Tisdale by secretly asking an extra to perform a stunt in the most awkward and over-the-top way possible. Ashley tried desperately to stay in character as the ridiculous performance unfolded, but keeping a straight face became nearly impossible. Then came the perfectly timed camera zoom, which finally pushed her over the edge and made the moment even funnier. Looking back, Ashley joked, “I did my best, but that camera zoom got me.” It was one of those hilarious behind-the-scenes moments where an unexpected prank and a genuine reaction created something no script could have planned.

What does a seventy-year-old man who has never left his father's tent have in common with the first murder ever committed? In this lecture, Jordan Peterson works through the story of Cain and Abel and arrives somewhere nobody expects: a precise, almost clinical account of how resentment is manufactured, step by step, in an ordinary person who believes he has been treated unfairly. Along the way he explains why Freud and Jung both thought Nietzsche's solution was impossible, why your reputation is a better place to store wealth than your bank account, what you are actually doing when you tell your son it matters how he plays the game, and the one experiment he ran on himself that he says is worth the price of the ticket on its own. Then Konstantin Kisin comes out to argue that none of it requires God at all, and the conversation turns to the pill, the family, and a question about what has to change in a culture before a technology becomes thinkable. The story of Cain and Abel turns out to be less about an ancient crime than about a door you have already been offered, and whether you opened it. This lecture was filmed on April 9, 2024, in New York City, New York.

While you're renting GPU hours you can't afford, someone just built a thousand-node AI cluster out of $600 consumer computers. no data center contract. no enterprise hardware. just Mac minis, stacked by hand into custom racks, running local models at a scale that should be impossible on hardware this cheap. this is the part the AI hype cycle doesn't want you to see - the compute monopoly everyone assumes exists is already being quietly dismantled by people buying retail electronics in bulk. if a thousand Mac minis can do this, the moat was never real. #AIAgents# #AutonomousAI# #BuildInPublic#

Grok is making the impossible possible. Have always been a work horse, yet never capable of multi-tasking. So I worked long hours, disciplined and focused. Now, multiple agents and bots are working simultaneously on different things, and the jobs get done. Amazing times.